835804-B21: HPE 128GB DDR4 2666MHz ECC DCPMM Memory Module
MPN: 835804-B21|By: HPE
Starting from
$300
Indicative. Final pricing is confirmed with your quote.
In Stockships worldwide
- Condition:
- New (authorized channel)
- Warranty:
- Full manufacturer warranty
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Bulk order? Request volume pricing
Authorized & warrantied
Sourced through authorized distribution, with the full manufacturer warranty.
Compatibility checked
Validated against your server platform before dispatch.
Delivery & lead time
Confirmed with your quote, including expedited freight where available.
Business & public sector
POs, net terms and volume pricing for qualified organizations, government and edu.
Product overview
Part number 835804-B21 identifies this HPE 128GB DDR4 2666MHz ECC DCPMM Memory Module. Population order decides whether you get the full memory bandwidth or a fraction of it, and the rules change between one and two processors. This is a 128GB module. Send the current layout and we will map the slots for you.
Quotes are itemised down to the accessories, so nothing that is needed to make the part work is left off and discovered later.
Specifications
General
- Manufacturer part number
- 835804-B21
- Product Type
- Server Memory
- Manufacturer
- HPE
Technical specifications
- Capacity
- 128GB
- Memory Type
- DDR4
- Module Type
- ECC
The table below is what the server memory module is documented as, not what we have inferred from the part number. If the figure you need is missing, ask and we will source it from the manufacturer.
Where the HPE 835804-B21 is deployed
- Swapping out a failed server memory module for 835804-B21 under change control
- Standardising a host on one module type and speed
- Raising host memory to fit more virtual machines per node
Who this part is for
- Virtualisation teams raising host memory to fit more guests per node
- Teams retiring mixed-speed memory in favour of one consistent part
- Procurement buying memory kits against a documented configuration
What you get ordering this from us
Ordered by part number
Quoted and supplied against 835804-B21 specifically, so what arrives is what your build sheet asks for.
Compatibility checked
We confirm the part is supported on your platform before it ships, rather than leaving the check to you.
Volume pricing
The listed price is per unit; tiered pricing applies at quantity and purchase orders are accepted.
Questions buyers ask about this part
Is 835804-B21 genuine and is the warranty intact?
Yes, new and sealed, with the HPE warranty and the firmware update path intact. We do not sell refurbished stock as new, and we do not source grey-market units.
Will 835804-B21 work in my server?
Send the server model and a list of the DIMMs already fitted. Rank, voltage and population order all have to agree, and a module that is electrically compatible can still be unsupported in a given slot. We map the population before you order.
Do you accept purchase orders and quote at volume?
Yes, POs from qualified organisations, net terms on approval, and banded pricing once the quantity is worth banding. Send the number and we will price it properly.
Compare other Server Memory we stock
| Model | Brand | Key spec | Availability | From |
|---|---|---|---|---|
| SK hynix 32GB DDR5-5600 PC5-44800 ECC Registered CL46 288-Pin RDIMM Server Memory Module | SK hynix | Capacity: 32GB | In Stock | $215 |
| Samsung 16GB DDR4-3200 PC4-25600 ECC Registered CL22 288-Pin RDIMM Server Memory Module | Samsung | Capacity: 16GB | In Stock | $55 |
| Micron 128GB DDR4-3200 PC4-25600 ECC Load-Reduced CL22 288-Pin LRDIMM Server Memory Module | Micron | Capacity: 128GB | In Stock | $500 |
| Dell Technologies 16GB DDR5-4800 PC5-38400 ECC RDIMM CL40 288-Pin Server Memory Module | Dell Technologies | Capacity: 16GB | In Stock | $95 |
| Lenovo 16GB DDR5-4800 PC5-38400 ECC RDIMM CL40 288-Pin Server Memory Module | Lenovo | Capacity: 16GB | In Stock | $90 |
| Kingston 8GB DDR4-3200 PC4-25600 ECC RDIMM CL22 288-Pin Server Memory Module | Kingston | Capacity: 8GB | In Stock | $35 |
Browse all Server Memory or everything we stock from HPE.
Specifying a system, not just the part?
Host memory on an AI node is normally sized against accelerator memory, so the model and its working set both fit.